GitHub organization
Agent skills by nWave-ai
- skills
- 106
- repository
- 1
Repositories by nWave-ai
Skills by nWave-ai, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | DELIVER wave orchestration workflow -- 9 phases from baseline to finalization. | nWave-ai/ | 617 | — | ~974 | Automated safety check: Pass | MIT | 21 days ago |
| 2 | Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. | nWave-ai/ | 617 | — | ~640 | Automated safety check: Pass | MIT | 21 days ago |
| 3 | Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. | nWave-ai/ | 617 | — | ~2.2k | Automated safety check: Pass | MIT | 21 days ago |
| 4 | Creates evidence-based documentation following DIVIO/Diataxis principles. | nWave-ai/ | 617 | — | ~1.4k | Automated safety check: Pass | MIT | 21 days ago |
| 5 | A skill your agent uses when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. | nWave-ai/ | 617 | — | ~3k | Automated safety check: Pass | MIT | 21 days ago |
| 6 | Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. | nWave-ai/ | 617 | — | ~1.2k | Automated safety check: Pass | MIT | 21 days ago |
| 7 | Dispatches an expert reviewer agent to critique workflow artifacts. | nWave-ai/ | 617 | — | ~1.9k | Automated safety check: Pass | MIT | 21 days ago |
| 8 | 8.Nw Rigor Selects a quality-vs-token-consumption profile (lean, standard, thorough, exhaustive, custom, inherit) and persists it globally (~/.nwave/global-config.json) or per-project (.nwave/des-config.json). | nWave-ai/ | 617 | — | ~4.9k | Automated safety check: Pass | MIT | 21 days ago |
| 9 | Creates a phased roadmap.json for a feature goal with acceptance criteria and TDD steps. | nWave-ai/ | 617 | — | ~1.8k | Automated safety check: Pass | MIT | 21 days ago |
| 10 | 10.Nw Deliver Orchestrates the full DELIVER wave end-to-end (roadmap execute-all finalize). | nWave-ai/ | 617 | — | ~8.7k | Automated safety check: Pass | MIT | 21 days ago |
| 11 | 11.Nw Devops Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. | nWave-ai/ | 617 | — | ~5.1k | Automated safety check: Pass | MIT | 21 days ago |
| 12 | 12.Nw Discuss Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery. | nWave-ai/ | 617 | — | ~7.3k | Automated safety check: Pass | MIT | 21 days ago |
| 13 | Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation | nWave-ai/ | 617 | — | ~1.3k | Automated safety check: Pass | MIT | 21 days ago |
| 14 | Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable… | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 15 | 5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance | nWave-ai/ | 617 | — | ~882 | Automated safety check: Pass | MIT | 21 days ago |
| 16 | Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. | nWave-ai/ | 617 | — | ~2.2k | Automated safety check: Pass | MIT | 21 days ago |
| 17 | Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. | nWave-ai/ | 617 | — | ~3.5k | Automated safety check: Pass | MIT | 21 days ago |
| 18 | BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation | nWave-ai/ | 617 | — | ~1.5k | Automated safety check: Pass | MIT | 21 days ago |
| 19 | BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification | nWave-ai/ | 617 | — | ~3.3k | Automated safety check: Pass | MIT | 21 days ago |
| 20 | Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. | nWave-ai/ | 617 | — | ~1.3k | Automated safety check: Pass | MIT | 21 days ago |
| 21 | 21.Nw Bugfix Bug fix workflow: root cause analysis → user review → regression test + fix via TDD | nWave-ai/ | 617 | — | ~1.5k | Automated safety check: Pass | MIT | 21 days ago |
| 22 | CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. | nWave-ai/ | 617 | — | ~2.8k | Automated safety check: Pass | MIT | 21 days ago |
| 23 | Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows | nWave-ai/ | 617 | — | ~1.1k | Automated safety check: Pass | MIT | 21 days ago |
| 24 | Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations | nWave-ai/ | 617 | — | ~584 | Automated safety check: Pass | MIT | 21 days ago |
| 25 | Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 26 | Step-by-step workflow for converting bloated command files to lean declarative definitions | nWave-ai/ | 617 | — | ~1.1k | Automated safety check: Pass | MIT | 21 days ago |
| 27 | 27.Nw Continue Detects current wave progress for a feature and resumes at the next step. | nWave-ai/ | 617 | — | ~1.1k | Automated safety check: Pass | MIT | 21 days ago |
| 28 | Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications | nWave-ai/ | 617 | — | ~2k | Automated safety check: Pass | MIT | 21 days ago |
| 29 | Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution | nWave-ai/ | 617 | — | ~2k | Automated safety check: Pass | MIT | 21 days ago |
| 30 | Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment | nWave-ai/ | 617 | — | ~1.6k | Automated safety check: Pass | MIT | 21 days ago |
| 31 | Shared density-resolution contract for wave skills. An agent skill from nWave-ai/nWave. | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 32 | Apple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. | nWave-ai/ | 617 | — | ~1.4k | Automated safety check: Pass | MIT | 21 days ago |
| 33 | 33.Nw Discover Conducts evidence-based product discovery through customer interviews and assumption testing. | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 34 | Question-first approach to understanding user journeys. An agent skill from nWave-ai/nWave. | nWave-ai/ | 617 | — | ~1.2k | Automated safety check: Pass | MIT | 21 days ago |
| 35 | 4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking | nWave-ai/ | 617 | — | ~1k | Automated safety check: Pass | MIT | 21 days ago |
| 36 | Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts | nWave-ai/ | 617 | — | ~2k | Automated safety check: Pass | MIT | 21 days ago |
| 37 | DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog | nWave-ai/ | 617 | — | ~1.8k | Automated safety check: Pass | MIT | 21 days ago |
| 38 | Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review | nWave-ai/ | 617 | — | ~1.1k | Automated safety check: Pass | MIT | 21 days ago |
| 39 | Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews | nWave-ai/ | 617 | — | ~1.4k | Automated safety check: Pass | MIT | 21 days ago |
| 40 | Fast-forwards through remaining waves end-to-end without stopping for review between waves. | nWave-ai/ | 617 | — | ~1.4k | Automated safety check: Pass | MIT | 21 days ago |
| 41 | 41.Nw Finalize Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace. | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 42 | TLA+ and PlusCal for specifying distributed system invariants. | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 43 | Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 44 | Domain modeling with algebraic data types, smart constructors, and type-level error handling | nWave-ai/ | 617 | — | ~2.4k | Automated safety check: Pass | MIT | 21 days ago |
| 45 | 45.Nw Fp Fsharp F language-specific patterns, Railway-Oriented Programming, and Computation Expressions | nWave-ai/ | 617 | — | ~1.8k | Automated safety check: Pass | MIT | 21 days ago |
| 46 | Hexagonal architecture patterns with pure core and side-effect shell for functional codebases | nWave-ai/ | 617 | — | ~2.1k | Automated safety check: Pass | MIT | 21 days ago |
| 47 | 47.Nw Fp Kotlin Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects | nWave-ai/ | 617 | — | ~1.8k | Automated safety check: Pass | MIT | 21 days ago |
| 48 | Core functional programming thinking patterns and type system foundations, language-agnostic | nWave-ai/ | 617 | — | ~2.2k | Automated safety check: Pass | MIT | 21 days ago |
Questions, answered from the data.
What is the best skill by nWave-ai?
Nw Deliver Orchestration from nWave-ai/nWave ranks first of the 106 skills by nWave-ai listed here, with the highest score: its repository has 617 GitHub stars, its SKILL.md loads about 974 tokens and it passes the automated safety check with no findings. Next come Nw Diagram and Nw Diverge.
Are nWave-ai's skills official?
None yet. All 106 skills by nWave-ai listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.